• DocumentCode
    2080232
  • Title

    Skeleton-space: a multiscale shape description combining region and boundary information

  • Author

    Ogniewicz, R.L.

  • Author_Institution
    Commun. Technol. Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland
  • fYear
    1994
  • fDate
    21-23 Jun 1994
  • Firstpage
    746
  • Lastpage
    751
  • Abstract
    A multiscale extension to the medial axis transform(MAT) or skeleton can be obtained by combining information derived from a scale-space hierarchy of boundary representations with region information provided by the MAT. The skeleton-space is constructed by attributing each skeleton component with a hierarchically ordered sequence of residual values, each expressing the saliency of the component at a distinct resolution level. Since our method amounts to a rather symbolic than iconic computation of a multiscale MAT, it does not introduce the correspondence problem between distinct levels of detail, in contrast to other commonly proposed techniques. Our multiscale MAT is capable of describing complex shapes characterized by significantly jagged boundaries. Furthermore, tracking the evolution of prominent loci of the MAT such as nodes across scales permits to assess the most significant skeleton constituents and to automatically determine pruning parameters. A salient subset of the MAT (first order skeleton) can be extracted without the need of manual threshold adjustment
  • Keywords
    image processing; mathematical morphology; boundary information; boundary representations; hierarchically ordered sequence; image analysis; mathematical morphology; medial axis transform; multiscale shape description; pruning parameters; region information; scale-space hierarchy; skeleton-space; Image analysis; Morphological operations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-5825-8
  • Type

    conf

  • DOI
    10.1109/CVPR.1994.323891
  • Filename
    323891